title: Jackknife and bootstrap tests of the composition vector trees.
abstract: Composition vector trees (CVTrees) are inferred from whole-genome data by an alignment-free and parameter-free method. The agreement of these trees with the corresponding taxonomy provides an objective justification of the inferred phylogeny In this work, we show the stability and self-consistency of CVTrees by performing bootstrap and jackknife re-sampling tests adapted to this alignment-free approach. Our ultimate goal is to advocate the viewpoint that time-consuming statistical re-sampling tests can be avoided at all in using this alignment-free approach. Agreement with taxonomy should be taken as a major criterion to estimate prokaryotic phylogenetic trees.
authors.affiliation: T-Life Research Center & Department of Physics, Fudan University, Shanghai 200433, China.
authors.forename: Guanghong
authors.initials: G
authors.lastname: Zuo
authors.forename: Zhao
authors.initials: Z
authors.lastname: Xu
authors.forename: Hongjie
authors.initials: H
authors.lastname: Yu
authors.forename: Bailin
authors.initials: B
authors.lastname: Hao
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D023281:Genomics / Q000379:methods*; D010802:Phylogeny